多时态BIT遥感图像建筑物的变化检测

针对来自相同地理空间的不同时刻遥感图像之间的季节性和光度变化(色差)等因素所引起的干扰, 提出了多时态-BIT遥感图像变化检测方法. 该方法引入了过去多个不同时刻的遥感图像, 融合当前遥感图像与过去时态遥感图像两两变化检测的结果, 该方法有助于排除季节性和光度变化引起的误报, 提高了变化检测的准确性; 并且利用过去多个不同时刻的遥感图像, 进一步消除非目标建筑变化的影响, 其变化点像素差值引入作为损失函数正则化项, 从而进一步提高变化检测的鲁棒性和可靠性. 本文以三时态(3个不同时刻的遥感图像)为例, 使用了遥感图像建筑物变化数据集进行了实验. 实验结果表明, 多时态-BIT方法相对于仅考虑两个时态的变化检测方法, 在遥感图像建筑物变化检测任务中表现出更好的效果.

Change Detection for Buildings in Multitemporal BIT Remote Sensing Images

A remote sensing image change detection method of multi-temporal binary change detection based on image transformation (BIT) is proposed to address issues related to seasonal and radiometric variations (color discrepancies) between remotely sensed images acquired at different times but from the same geographic area. This method incorporates remote sensing images from multiple past time points and combines the results of pairwise change detection between the current image and the past temporal images to obtain a stable change detection outcome. This method helps mitigate false alarms caused by seasonal and radiometric variations, thereby enhancing the accuracy of change detection. Multiple remote sensing images from different time points in the past are utilized to eliminate the influence of non-target building changes. The pixel difference value of change points is introduced as a regularization term in the loss function, further improving the robustness and reliability of change detection. In this study, a three-temporal (three images from different time points) example is provided, and experiments are conducted with a remote sensing image dataset of building changes. The experimental results demonstrate that the multi-temporal BIT method outperforms change detection methods that only consider two temporal images in the task of remote sensing image change detection.